Past Events
May 14

Between Likes and Lies: The Battle Against Media Manipulation

Mar 23

All The Ways You Can’t Sue Facebook

Jun 16

Future Perfect Livestream

May 19

Data & Society Workshop: Propaganda and Media Manipulation

May 11

DLD New York 2017

May 3

Adrian Chen and “The Moderators”: Screening + Social

Apr 6

Giving Voice: Mobile Communication, Disability, and Inequality

Mar 25

Synthetic Biology: Learn to Program Life

Mar 16

Synthetic Biology

Mar 3

International Data Responsibility Group Conference 2017

Jan 25

An AI Pattern Language

Jan 23

Data & Society Workshop: Work, Labor, and Automation

Jan 19

Privacy in the Era of Personal Genomics

Dec 9

Data & Society Workshop: Eclectic

Nov 29

The Glass Room

Jun 9

The Social Life of DNA

May 19

Ethics in Designing the Data Interventions

Apr 26

Privacy, Encryption, and Anonymity in the Civil Legal Aid Context

Apr 20

AI in the Real World: A Conversation with Steven Gustafson

Apr 7

Enabling Connected Learning Workshop on Personalized Learning

Mar 5

NYC School of Data Conference

Feb 26

Who Controls the Public Sphere in an Era of Algorithms?

Feb 19

Second annual International Data Responsibility Conference

Feb 17

Surveillance in the Shadow of the Dotcom Bubble

Jan 28

The Social Life of DNA book party

Jan 26

Knight News Challenge on Data Event & Happy Hour

Jan 15

Responsible Data Forum: Data Visualization

Oct 27

Data & Civil Rights: A New Era of Policing and Justice

Oct 13

Global Fashion Capitals Conference

Sep 16

Neil Richards: Intellectual Privacy (book talk)

Sep 9


Sep 8

Knight News Challenge on Data: Information Session

Jun 15

Libraries, Digital Privacy, & Data Literacy

May 28

Deep Lab residency at NEW INC

May 19

Police Technology and Civil Rights Roundtable

Mar 24

Intelligence and Autonomy forum

Oct 30

Data & Civil Rights: Why “Big Data” is a Civil Rights Issue

Oct 14

Celebrate the launch of Data & Society

Jul 24

Responsible Data Forum: Private Sector Data Sharing

Mar 17

The Social, Cultural & Ethical Dimensions of “Big Data”

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